Kejing Yin
Research Assistant Professor at Hong Kong Baptist University
Kowloon, Hong Kong, China
Summary
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Senior🎓
Top SchoolKejing Yin is a Research Assistant Professor with a decade of experience developing interpretable and predictive machine learning models for high-dimensional healthcare data. Based at Hong Kong Baptist University after a visiting stint at Georgia Tech, she bridges rigorous academic research and practical AI-driven analytics in clinical settings. Her work emphasizes transparency and predictive accuracy in healthcare models, aiming to make complex algorithms auditable and clinically actionable. Trained as a PhD in Computer Science with an engineering undergraduate background, she blends quantitative modeling skills with systems thinking honed across interdisciplinary environments.
9 years of coding experience
Visiting PhD Student, Computer Science, Visiting PhD Student, Computer Science at Georgia Institute of TechnologyDoctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Hong Kong Baptist UniversityBachelor of Engineering (BEng), Thermal Energy and Power Engineering, 3.38/4.0, Bachelor of Engineering (BEng), Thermal Energy and Power Engineering, 3.38/4.0 at South China University of Technology
Github Skills (9)
icu10
database7
factorization6
temporal6
binary-data4
representations3
embedding2
medical2
tensor1
Programming languages (2)
Github contributions (5)
ai4h-hkbu/CATSI
May 2019 - Nov 2020
Contributions:4 commits, 2 pushes, 1 comment in 1 year 6 months
jakeykj/jakeykj.github.io
Apr 2017 - Oct 2024
Contributions:91 pushes, 2 branches in 7 years 7 months
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